Toward Developing a Mobile Channel Extension Model: Roles of Compatibility, Subjective Norm, and Media Influences

Salient antecedents of mobile shopping intentions: Media dependency, fashion/brand interest and peer influence

“…This finding is in line with a previous study by Lee and Kim (2011) that communication activities using mobile devices can predict shopping activities using mobile devices. This result also suggests that mobile devices can be effective media marketing tools for apparel marketers to use as potential avenues for product promotion.…”

“…MDT has been applied to investigate the significance of the Internet as a newer medium for sources of information and entertainment (Riffe, Lacy, & Varouhakis, 2008). In the context of e-commerce for apparel goods, numerous empirical studies have found MBT robust in explaining consumer behavior (e.g., Kim & Park, 2005;Lee & Kim, 2011). Moreover, MDT has been useful in explaining consumer behavior in the m-commerce setting (e.g., Kim, Ma, & Park, 2009;Lee & Kim, 2011).…”

“…In the context of e-commerce for apparel goods, numerous empirical studies have found MBT robust in explaining consumer behavior (e.g., Kim & Park, 2005;Lee & Kim, 2011). Moreover, MDT has been useful in explaining consumer behavior in the m-commerce setting (e.g., Kim, Ma, & Park, 2009;Lee & Kim, 2011). Recent research demonstrated that the more involved a young adult consumer is with mobile technology as a communication medium, the greater the probability that promotional messages distributed via the media will affect their attitude toward the mobile messages and their behavioral intention toward using mobile coupons (Bacile, 2010;Kim et al, 2009).…”

Under the sway of a mobile device during an in‐store shopping experience

“…Given that the internet, mobile devices, and e-commerce are resources for attaining consumer information, MDT has been applied in various marketing contexts. Scholars have explored such issues as the significance of the internet as a source of information and entertainment (Riffe, Lacy, & Varouhakis, 2008), consumers' behavior in ecommerce for apparel goods (e.g., Kim & Park, 2005;Lee & Kim, 2011), consumer behavior in mobile commerce for fashion products (e.g., Kim, Jin, & Park, 2009;Lee & Kim, 2011), purchase process stages in which mobile devices are utilized (Holmes et al, 2013), as well as behavioral intentions toward mobile shopping and mobile marketing messages (Hahn & Kim, 2013).…”

Impacts of Technological Advancements on Consumer’s Decision-Making and Behavior in the Fashion Retail Industry

“…In the subsequent effort in this topic, Lee and I [18] provided a conceptual framework called mobile channel extension model providing the empirical support on the effects of compatibility of the channel and media influence on mobile use as the additional predictor of the consumer's attitude and behavior intention in relation to mobile shopping. More recent body of research in collaboration with Kim Hahn has focused on the individual consumer's innate personal trait variables such as high tech involvement, proclivity to experiment, fashion involvement [19], self-moniotring tendency [20] and peer influences [21] on mobile technology adoption for communication and commerce. Another study we compared the fashion major students against non-fashion students and found empirical findings to support the old notion of self-monitoring tendency, fashion involvement, and proclivity to experience with appearance that was believed without the test results.…”